Keywords: Model-Based Construction

Keywords: Enterprise Architecture, Knowledge Graph, Modeling tool, ArchiMate, Archi
Astract: Enterprise Architecture offers guidelines for the coherent, model-based design and management of enterprises. EA models provide a layered, integrated, and cohesive representation of the enterprise, enabling communication, analysis, and decision making. With the increasing size of EA models, automated analysis becomes essential. However, advanced model analysis is neither incorporated in current EA methods like ArchiMate nor supported by existing EA tools like Archi. Knowledge Graphs (KGs) can effectively organize and represent knowledge and enable reasoning to utilize this knowledge, e.g., for decision support. This paper introduces a model-based Enterprise Architecture Knowledge Graph (EAKG) construction method and shows how starting from ArchiMate models, an initially derived EAKG can be further enriched by EA-specific and graph characteristics-based knowledge. The introduced EAKG entails new representation and reasoning methods applicable to EA knowledge. As a proof of concept, we present the results of a first Design Science Research Cycle aiming to realize an Archi plugin for the EAKG that enables analysis of EA Smells within ArchiMate models.

Keywords: Code generation, Entity Relationship, Language Server Protocol, Modeling, Sprotty, Tool
Astract: This paper introduces the first major release of the bigER modeling tool. bigER offers various features for flexibly specifying and visualizing Entity Relationship (ER) data models. Within the Visual Studio (VS) Code IDE, the tool enables hybrid modeling through a textual editor and a graphical editor to display and modify the textual and graphical ER model, respectively. Both editors are realized with a custom language to specify ER elements and allow multi-notation support (currently Bachman, Chen, Crow’s Foot, Min-Max, and UML). The bigER modeling tool incorporates the Language Server Protocol and is based on web technologies, which makes the tool platform-independent and easily extensible. We present the newest extensions of bigER, i.e., multi-notation support and improved edge routing.

Keywords:
Astract: The Entity Relationship model is the de-facto standard for data modeling and has been in use for a long time already. This popularity also led to the development of various tools that support ER modeling. However, these tools are often inflexible, proprietary, constrained to specific platforms, and lack advanced features like (SQL) code generation. This paper introduces the bigER modeling tool. bigER offers various features for flexibly specifying and visualizing conceptual ER data models. Within the VS Code IDE, the tool enables hybrid and interactive modeling through a textual editor with a custom language to specify ER elements and an accompanying view to display and modify the graphical ER model. The bigER modeling tool is one of the first tools to incorporate the Language Server Protocol and to be distributed through the VS Code ecosystem. Due to its web technology-based architecture, it is platform-independent and easily extensible.